RRepoGEO

REPOGEO REPORT · LITE

adrianhajdin/project_ai_mern_image_generation

Default branch main · commit 797f9fd2 · scanned 5/19/2026, 11:17:59 AM

GitHub: 1,195 stars · 339 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface adrianhajdin/project_ai_mern_image_generation, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README to clearly state it's a MERN app tutorial

    Why:

    CURRENT
    # Build and Deploy a Full Stack MERN AI Image Generation App MidJourney & DALL E Clone ### 🌟 Become a top 1% Next.js 13 developer in only one course ### 🚀 Land your dream programming job in 6 months ### Launch your development career with project-based coaching - https://www.jsmastery.pro
    COPY-PASTE FIX
    # Full Stack MERN AI Image Generation App: MidJourney & DALL E Clone (Tutorial Project) This repository provides a complete, step-by-step tutorial for building and deploying a full-stack MERN (MongoDB, Express, React, Node.js) web application that integrates OpenAI's DALL-E API for AI image generation. Learn to create a functional clone of MidJourney or DALL-E, allowing users to generate, share, and browse AI-generated images.
  • highlicense#2
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository to clearly define the project's usage terms.
  • mediumtopics#3
    Add "tutorial" and "example" topics

    Why:

    CURRENT
    mern-stack, openai, reactjs
    COPY-PASTE FIX
    mern-stack, openai, reactjs, tutorial, example, full-stack, web-development

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface adrianhajdin/project_ai_mern_image_generation
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Flask
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Flask · recommended 1×
  2. FastAPI · recommended 1×
  3. PyTorch · recommended 1×
  4. TensorFlow · recommended 1×
  5. Hugging Face `diffusers` · recommended 1×
  • CATEGORY QUERY
    How can I build a full-stack web application for AI image generation?
    you: not recommended
    AI recommended (in order):
    1. Flask
    2. FastAPI
    3. PyTorch
    4. TensorFlow
    5. Hugging Face `diffusers`
    6. React
    7. Next.js
    8. Vue.js
    9. PostgreSQL
    10. MongoDB
    11. AWS (Amazon Web Services)
    12. EC2
    13. S3
    14. Lambda
    15. Google Cloud Platform (GCP)
    16. Compute Engine
    17. Cloud Storage
    18. Cloud Functions
    19. Hugging Face Spaces

    AI recommended 19 alternatives but never named adrianhajdin/project_ai_mern_image_generation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source frameworks to create a custom AI art generation service.
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. Stable Diffusion
    3. KerasCV (keras-team/keras-cv)
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. ComfyUI (comfyanonymous/ComfyUI)

    AI recommended 6 alternatives but never named adrianhajdin/project_ai_mern_image_generation. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of adrianhajdin/project_ai_mern_image_generation?
    pass
    AI did not name adrianhajdin/project_ai_mern_image_generation — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts adrianhajdin/project_ai_mern_image_generation in production, what risks or prerequisites should they evaluate first?
    pass
    AI named adrianhajdin/project_ai_mern_image_generation explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo adrianhajdin/project_ai_mern_image_generation solve, and who is the primary audience?
    pass
    AI did not name adrianhajdin/project_ai_mern_image_generation — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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adrianhajdin/project_ai_mern_image_generation — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite